Operating model
Define outcomes, ownership, team shape, decision rights, measures, and governance for people and agents working as one system.
AI operating models and systems
We redesign your highest-value workflow around people and agents working as one, then build the operating model and software that run it.
One valuable domain, redesigned end to end.
The software, data, and workflows that run it, in production.
Every task owned, with people accountable for outcomes.
Your own team able to operate and extend it.
Proved in operation before it is scaled
For leaders replacing core platforms, redesigning operations, or moving AI from experiments into production.
Most organisations add copilots and point solutions to processes built for another era. The result is more software, more handovers, and little change in the economics of the work.
We start with the outcome, then break the work into clear tasks. Some tasks people lead, some a software agent can complete on its own, and some are shared. We redesign the systems and the organisation around that model.
Three connected capabilities that take one valuable domain from redesign to production.
Define outcomes, ownership, team shape, decision rights, measures, and governance for people and agents working as one system.
Reimagine one end-to-end domain. Remove avoidable handovers, assign each task deliberately, and design human review around risk and exceptions.
Build or modernise the software, the data foundations, and the workflows agents run, so the model reaches production without unnecessary model or vendor lock-in.
Illustrative example
Recording a direct-debit mandate shows how routine work changes and where people stay accountable.
A document arrives. A person opens it, reads the details, enters them into a system, checks the entry, and files the document.
An incoming document triggers the workflow: an agent extracts and validates the details, checks them against policy, and updates the system. Uncertain or exceptional cases go to a person. Every action and decision is recorded.
The interface may disappear for routine work. Human judgement does not.
Interview the people who run and use the work. Read the systems and data. Establish the current economics, constraints, and risks.
Output A prioritised opportunity, baseline measures, and a clear first domain.
Map the outcome end to end and break it into tasks. Assign human, agent, and system responsibility, including controls and exceptions.
Output A target workflow, operating model, and build plan.
Build a production pathfinder with the people who will use and own it. Measure speed, cost, quality, and intervention rates.
Output Evidence from real work, not a disconnected demonstration.
Extend the proven model, establish reusable foundations, and equip internal teams to operate and improve it.
Output Lasting capability rather than permanent supplier dependence.
FORM II sits between strategy-only advice and software delivery that accepts the existing process as fixed.
The engagement begins with measurable operational value.
The people shaping the model remain accountable as it is built.
Capacity expands and contracts with the work instead of becoming permanent headcount.
Senior developers use AI across the development lifecycle to increase speed and reduce delivery overhead.
Architecture, documentation, and working practices support internal ownership.
Permissions, review thresholds, observability, and audit trails sit inside the workflow.
FORM II is for organisations with a valuable workflow, core platform, or operating constraint that cannot be solved by adding another tool.
Tell us where the constraint is, what outcome matters, and when you need to move. We will review it and arrange a focused conversation if FORM II is likely to help.